Publication in BibTeX Format

@INPROCEEDINGS{AICPub1883:2012,
AUTHOR={Chaudhri, V. K. and Heymans, S. and Yorke-Smith, N.},
TITLE={Proces Interruption Reasoning},
BOOKTITLE={Proceedings of the 2nd Deep Knowledge Representation and Reasoning
Challenge Workshop},
ADDRESS={Playa Vista, CA},
MONTH={July},
YEAR={2012},
ABSTRACT={Biological processes such as Cellular Respiration have an intricate
structure that defines the ordering amongst different steps and the participants
in each step. A person who understands the process is expected to be able to
reason with how the process is affected if one or more steps is interrupted.
In this paper, we analyze a family of questions about process interruption,
and present reasoning patterns that an automated reasoner can use to answer
them. Our reasoning patterns rely on the order of steps of the process and
the participants of those steps. We suggest that this approach leads to more
intuitive and simpler reasoning than an approach of based on theory of intentions
[9,10], or an approach that relies on qualitative simulation [8].}
}